Sampling and Bias Quiz

What is simple random sampling?

• Selecting a sample by excluding certain individuals from the population

• Choosing a sample by picking the first individuals encountered

• A method of selecting a sample based on personal preference

• A method of selecting a sample from a population where each individual has an equal probability of being chosen.

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Explain the process of conducting simple random sampling.

• Randomly selecting individuals from a population to form a sample.

• Selecting individuals based on their age from a population to form a sample.

• Picking individuals who are known to have a certain characteristic from a population to form a sample.

• Choosing individuals who are friends with each other from a population to form a sample.

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What is stratified sampling?

• A method of sampling where the population is divided into layers, and then samples are randomly selected from each layer.

• A method of sampling where the population is divided into subgroups, or strata, and then samples are randomly selected from each stratum.

• A method of sampling where the population is divided into quadrants, and then samples are randomly selected from each quadrant.

• A method of sampling where the population is divided into clusters, and then samples are randomly selected from each cluster.

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Describe the steps involved in conducting stratified sampling.

• Divide the population into subgroups or strata, randomly select samples from each stratum, and combine the samples to form the complete sample.

• Select samples only from the most populated stratum

• Divide the population into age groups and select samples from each group

• Randomly select samples from the entire population

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What is cluster sampling?

• A sampling technique where the population is divided into individuals and a random sample of individuals is selected for analysis.

• A sampling technique where the population is divided into clusters and a random sample of clusters is selected for analysis.

• A sampling technique where the population is divided into categories and a random sample of categories is selected for analysis.

• A sampling technique where the population is divided into groups and a non-random sample of groups is selected for analysis.

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Discuss the advantages and disadvantages of cluster sampling.

• Cluster sampling always leads to a decrease in sampling error.

• Cluster sampling is not cost-effective and takes a lot of time.

• Cluster sampling is the most accurate method of data collection.

• Cluster sampling allows for cost-effective and time-efficient data collection, but it may lead to increased sampling error and may not be as representative of the entire population.

What is systematic sampling?

• A method of sampling where only the first member of the population is selected

• A method of sampling where every member of the population is selected

• A method of sampling where every nth member of the population is selected to be included in the sample.

• A method of sampling where the sample is chosen randomly without any specific pattern

Explain how systematic sampling is different from simple random sampling.

• Systematic sampling involves selecting every nth item from the population, while simple random sampling involves selecting items randomly without any specific pattern.

• Systematic sampling involves selecting every item from the population, while simple random sampling involves selecting items based on personal preference.

• Systematic sampling involves selecting items randomly without any specific pattern, while simple random sampling involves selecting every nth item from the population.

• Systematic sampling involves selecting items based on personal preference, while simple random sampling involves selecting items using a specific pattern.

What is response bias?

• A type of bias that occurs when the survey respondents intentionally give inaccurate answers

• A type of bias that occurs when the survey questions are too difficult to understand

• A type of bias that occurs when the answers given by survey respondents do not accurately reflect their true beliefs or experiences.

• A type of bias that occurs when the survey respondents are too honest in their answers

Provide examples of how response bias can occur in survey research.

• Participants providing responses without any influence

• Participants providing accurate and honest responses

• Participants providing responses based on their true beliefs

• Participants providing inaccurate or misleading responses due to social desirability, acquiescence bias, or interviewer effect.